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Table 10 Comparison of the results with a change in the number of measurements per day

From: Developing a system that can automatically detect health changes using transfer times of older adults

Scenarioa Number of measurements per day FPRb DRc ARLd
V SU [0–10] 0.20±0.07 100 % 7.70±3.34
  [0–5] 0.16±0.06 100 % 7.80±4.41
V US [0–10] 0.17±0.07 100 % 10.95±3.59
  [0–5] 0.16±0.06 100 % 11.05±4.20
V SUS [0–10] 0.20±0.08 100 % 10.40±4.90
  [0–5] 0.24±0.08 100 % 8.90±4.15
V USU [0–10] 0.20±0.08 100 % 9.05±3.33
  [0–5] 0.21±0.05 100 % 8.18±4.30
  1. Notes
  2. aSimulation scenarios as described in Table 4
  3. bAverage number of False Alerts per week
  4. cDetection Rate
  5. dAverage Run Length